KR101991918B1 - 순환 신경망들을 사용하는 건강 이벤트들의 분석 - Google Patents

순환 신경망들을 사용하는 건강 이벤트들의 분석 Download PDF

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KR101991918B1
KR101991918B1 KR1020177031387A KR20177031387A KR101991918B1 KR 101991918 B1 KR101991918 B1 KR 101991918B1 KR 1020177031387 A KR1020177031387 A KR 1020177031387A KR 20177031387 A KR20177031387 A KR 20177031387A KR 101991918 B1 KR101991918 B1 KR 101991918B1
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health
temporal sequence
neural network
events
computers
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KR1020177031387A
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KR20170132842A (ko
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그레고리 션 코라도
제프리 애드게이트 딘
일리아 수츠케버
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구글 엘엘씨
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/10Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
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  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
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  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
KR1020177031387A 2015-07-27 2016-07-26 순환 신경망들을 사용하는 건강 이벤트들의 분석 KR101991918B1 (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US14/810,368 2015-07-27
US14/810,368 US20170032241A1 (en) 2015-07-27 2015-07-27 Analyzing health events using recurrent neural networks
PCT/US2016/044106 WO2017019706A1 (en) 2015-07-27 2016-07-26 Analyzing health events using recurrent neural networks

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KR20170132842A KR20170132842A (ko) 2017-12-04
KR101991918B1 true KR101991918B1 (ko) 2019-06-24

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KR1020177031387A KR101991918B1 (ko) 2015-07-27 2016-07-26 순환 신경망들을 사용하는 건강 이벤트들의 분석

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US (1) US20170032241A1 (ja)
EP (1) EP3274887A1 (ja)
JP (1) JP6530084B2 (ja)
KR (1) KR101991918B1 (ja)
CN (1) CN107995992B (ja)
WO (1) WO2017019706A1 (ja)

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US10783634B2 (en) * 2017-11-22 2020-09-22 General Electric Company Systems and methods to deliver point of care alerts for radiological findings
KR20190114694A (ko) * 2018-03-30 2019-10-10 삼성에스디에스 주식회사 인공지능을 이용한 시계열 데이터 학습 및 분석 방법
US20210027892A1 (en) * 2018-04-04 2021-01-28 Knowtions Research Inc. System and method for outputting groups of vectorized temporal records
EP3732629A1 (en) * 2018-05-23 2020-11-04 Google LLC Training sequence generation neural networks using quality scores
CN109003677B (zh) * 2018-06-11 2021-11-05 清华大学 病历数据结构化分析处理方法
JP7297980B2 (ja) * 2018-07-27 2023-06-26 キヤノンメディカルシステムズ株式会社 医用情報管理装置
JP7059151B2 (ja) * 2018-09-12 2022-04-25 株式会社日立製作所 時系列データ分析装置、時系列データ分析方法、および時系列データ分析プログラム
US11260872B2 (en) * 2018-10-12 2022-03-01 Honda Motor Co., Ltd. System and method for utilizing a temporal recurrent network for online action detection
US11302446B2 (en) 2018-11-13 2022-04-12 Google Llc Prediction of future adverse health events using neural networks by pre-processing input sequences to include presence features
EP3888102A2 (en) * 2018-11-30 2021-10-06 Preventice Technologies, Inc. Multi-channel ecg and with rhythm transfer learning
CN109817338A (zh) * 2019-02-13 2019-05-28 北京大学第三医院(北京大学第三临床医学院) 一种慢性病加重风险评估与告警系统
US20230334306A1 (en) * 2019-02-15 2023-10-19 Google Llc Prediction of future adverse health events using state-partitioned recurrent neural networks
CN110610767B (zh) * 2019-08-01 2023-06-02 平安科技(深圳)有限公司 发病率监测方法、装置、设备及存储介质
CN111588349B (zh) * 2020-05-28 2023-12-01 京东方科技集团股份有限公司 一种健康分析装置及电子设备
WO2023164308A2 (en) * 2022-02-28 2023-08-31 The Board Of Trustees Of The Leland Stanford Junior University Systems and methods to assess neonatal health risk and uses thereof

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EP0910023A2 (de) * 1997-10-17 1999-04-21 Siemens Aktiengesellschaft Verfahren und Anordnung zur neuronalen Modellierung eines dynamischen Systems mit nichtlinearem stochastischem Verhalten
US20040010481A1 (en) * 2001-12-07 2004-01-15 Whitehead Institute For Biomedical Research Time-dependent outcome prediction using neural networks
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JP2007536645A (ja) * 2004-05-07 2007-12-13 インターメッド アドバイザー,インコーポレイティド 慢性疾患患者のためのリアルタイム予測モデル化方法及び装置
JP2006120136A (ja) * 2004-09-27 2006-05-11 Kyoto Univ 言語処理装置、言語処理方法、言語処理プログラムおよびそれを記録したコンピュータ読み取り可能な記録媒体
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CN102971755A (zh) * 2010-01-21 2013-03-13 阿斯玛西格诺斯公司 用于慢性病管理的早期告警方法和系统
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Also Published As

Publication number Publication date
EP3274887A1 (en) 2018-01-31
JP6530084B2 (ja) 2019-06-12
CN107995992A (zh) 2018-05-04
JP2018526697A (ja) 2018-09-13
US20170032241A1 (en) 2017-02-02
CN107995992B (zh) 2021-10-19
KR20170132842A (ko) 2017-12-04
WO2017019706A1 (en) 2017-02-02

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